Xiaodi Shang

683 total citations
40 papers, 528 citations indexed

About

Xiaodi Shang is a scholar working on Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiaodi Shang has authored 40 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Media Technology, 24 papers in Atmospheric Science and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiaodi Shang's work include Remote-Sensing Image Classification (33 papers), Remote Sensing and Land Use (24 papers) and Advanced Image Fusion Techniques (12 papers). Xiaodi Shang is often cited by papers focused on Remote-Sensing Image Classification (33 papers), Remote Sensing and Land Use (24 papers) and Advanced Image Fusion Techniques (12 papers). Xiaodi Shang collaborates with scholars based in China, United States and Taiwan. Xiaodi Shang's co-authors include Meiping Song, Chein‐I Chang, Chunyan Yu, Haoyang Yu, Xudong Sun, Yulei Wang, Shuhan Chen, Fang Li, Xianping Fu and Jiahua Zhang and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Geoscience and Remote Sensing and Remote Sensing.

In The Last Decade

Xiaodi Shang

39 papers receiving 519 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaodi Shang China 13 398 200 140 72 66 40 528
Zhaoyue Wu China 12 612 1.5× 311 1.6× 172 1.2× 67 0.9× 102 1.5× 31 726
Xiaobing Dai China 10 312 0.8× 183 0.9× 118 0.8× 57 0.8× 34 0.5× 22 452
Xiaobin Zhao China 12 275 0.7× 86 0.4× 117 0.8× 94 1.3× 58 0.9× 37 443
Di You China 10 231 0.6× 166 0.8× 146 1.0× 32 0.4× 43 0.7× 15 408
Dehui Zhu China 11 277 0.7× 122 0.6× 81 0.6× 112 1.6× 37 0.6× 25 359
Jingyu Ji China 9 802 2.0× 376 1.9× 444 3.2× 41 0.6× 75 1.1× 26 984
Zengfu Hou China 10 497 1.2× 230 1.1× 182 1.3× 121 1.7× 93 1.4× 12 583
Abudusalamu Tuniyazi China 10 141 0.4× 71 0.4× 127 0.9× 71 1.0× 19 0.3× 17 412

Countries citing papers authored by Xiaodi Shang

Since Specialization
Citations

This map shows the geographic impact of Xiaodi Shang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaodi Shang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodi Shang more than expected).

Fields of papers citing papers by Xiaodi Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaodi Shang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaodi Shang. The network helps show where Xiaodi Shang may publish in the future.

Co-authorship network of co-authors of Xiaodi Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaodi Shang. A scholar is included among the top collaborators of Xiaodi Shang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaodi Shang. Xiaodi Shang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gong, Gu, Xiaopeng Wang, Jiahua Zhang, et al.. (2025). MSFF: A Multi-Scale Feature Fusion Convolutional Neural Network for Hyperspectral Image Classification. Electronics. 14(4). 797–797. 3 indexed citations
2.
Yan, Donghong, Xudong Sun, Jiahua Zhang, & Xiaodi Shang. (2025). Dual-View Structural Similarity Subspace Clustering for Hyperspectral Band Selection. IEEE Geoscience and Remote Sensing Letters. 22. 1–5. 1 indexed citations
3.
Sun, Xudong, et al.. (2025). JDAWSL: Joint Domain Adaptation With Weight Self-Learning for Hyperspectral Few-Shot Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 21476–21493. 1 indexed citations
4.
5.
Sun, Xudong, et al.. (2024). Structure-Preserved and Weakly Redundant Band Selection for Hyperspectral Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 12490–12504. 15 indexed citations
6.
Sun, Xudong, et al.. (2024). SSANet-BS: Spectral–Spatial Cross-Dimensional Attention Network for Hyperspectral Band Selection. Remote Sensing. 16(15). 2848–2848. 12 indexed citations
7.
Sun, Xudong, et al.. (2024). Sample Latent Feature-Associated Low-Rank Subspace Clustering for Hyperspectral Band Selection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 14050–14063. 3 indexed citations
8.
Wang, Xiaopeng, et al.. (2024). Soil Salinity Inversion in Yellow River Delta by Regularized Extreme Learning Machine Based on ICOA. Remote Sensing. 16(9). 1565–1565. 8 indexed citations
9.
Shang, Xiaodi, et al.. (2023). Spectral-Spatial Hypergraph-Regularized Self-Representation for Hyperspectral Band Selection. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 14 indexed citations
10.
Yu, Haoyang, et al.. (2022). Robust Linear Unmixing for Hyperspectral Remote Sensing Imagery Based on Enhanced Constraint of Classification. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 1628–1631. 2 indexed citations
11.
Xue, Bai, et al.. (2021). Crack Extraction for Polycrystalline Solar Panels. Energies. 14(2). 374–374. 6 indexed citations
12.
Hu, Jiaochan, et al.. (2021). Extended Subspace Projection Upon Sample Augmentation Based on Global Spatial and Local Spectral Similarity for Hyperspectral Imagery Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 8653–8664. 8 indexed citations
13.
Yu, Haoyang, Xiaodi Shang, Meiping Song, et al.. (2020). Union of Class-Dependent Collaborative Representation Based on Maximum Margin Projection for Hyperspectral Imagery Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 553–566. 9 indexed citations
14.
Shang, Xiaodi, et al.. (2020). Hyperspectral Classification Using Low Rank and Sparsity Matrices Decomposition. 477–480. 6 indexed citations
15.
Zhong, Shengwei, Chein‐I Chang, Jiaojiao Li, et al.. (2019). Class Feature Weighted Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(12). 4728–4745. 30 indexed citations
16.
Zhang, Bing, Xiaodi Shang, Qiuyu Wang, et al.. (2019). A Comparative Study on Johnson–Cook, Modified Johnson–Cook, Modified Zerilli–Armstrong and Arrhenius-Type Constitutive Models to Predict Hot Deformation Behavior of TA2. High Temperature Materials and Processes. 38(2019). 699–714. 12 indexed citations
17.
Li, Fang, et al.. (2019). Uniform Band Interval Divided Band Selection. 3816–3819. 2 indexed citations
18.
Xue, Bai, Xiaodi Shang, Shengwei Zhong, Peter Hu, & Chein‐I Chang. (2019). Iterative constrained energy minimization convolutional neural network for hyperspectral image classification. Maryland Shared Open Access Repository (USMAI Consortium). 54–54. 1 indexed citations
19.
Zhao, Enyu, Lan Li, Meiping Song, et al.. (2019). Research on Image Registration Algorithm and Its Application in Photovoltaic Images. IEEE Journal of Photovoltaics. 10(2). 595–606. 4 indexed citations
20.
Zhang, Bing, Zhijuan Zhang, Xiaodi Shang, et al.. (2017). Influence of interface microstructure on the mechanical properties of Ti/Ni multi-layered composites. Materials Science and Technology. 33(17). 2126–2137. 11 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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